Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"short-term forecasting"”.
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Towards short-term forecasting of ventricular tachyarrhythmias
This thesis reports the discovery of spectral patterns in ECG signals that exhibit a temporal behavior correlated with an approaching Ventricular Tachyarrhythmic (VTA) event. A computer experiment is performed where a supervised learning algorithm models the ECG signals with the targeted behavior, …
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Short term forecasting of categorical changes in wind power
Includes bibliographical references.
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Globalization for Scalable Short-term Forecasting of Heterogeneous Loads
… emphasizing the need for multi-step load forecasting not only at the system level but also at primary and secondary substations, area levels, and individual Points of Delivery (PoDs). This necessitates scalable forecasting techniques that can handle numerous measuring points with diverse …
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Characterization and short term forecasting of the US long haul truckload spot market
Accurate forecasting of transportation costs is a key step in logistical planning. It helps buyers and sellers of transportation services make better decisions at all stages of a supply chain, thus creating a significant need to develop forecasting techniques that give useful results. First, we …
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Multivariate Time-Series Deep Learning for Short-Term Forecasting of Lost Circulation in Drilling Operations
… time-series deep learning models for short-term lost circulation prediction based on real field drilling data. The dataset used in this study was collected during a DARPA sponsored field drilling project and includes controllable operational parameters, measured drilling responses, and …
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Short-Term Forecasting of Power Flows over Major Pacific Northwestern Interties: Using Box and Jenkins ARIMA Methodology
… with the industry. In this thesis, the task of short-term forecasting of the power flows over three major transmission interties of the Pacific Northwest region, namely the Pacific AC Intertie, the Pacific DC Intertie and the Northern Intertie, is successfully accomplished. The Pacific AC and …
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Forecasting short term trucking rates
… future cash flows. This study develops a forecasting model that predicts both contract and spot rates for truckload transportation on individual lanes for the next seven days. This study considers several input variables, including lagged values of spot and contract rates, rates on …
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Characterization of precipitation events on different space-time scales
… way called 'now casting', that is a very short-term forecasting based on remote sensing.Being a unseen instrument, to value the good estimate of datum,it's fundamental the metrological valuation:we have made it weighting datum uncertainties.Comparing to the traditional instruments,Pludix …
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Optimizing smoothing parameters for the triple exponential forecasting model
… has always been a popular topic of research in forecasting. The triple exponential smoothing in particular involves modeling a function that is a combination of level, trend and seasonal factors. While simulating the model, each of the factors is associated with a parameter whose value has a …
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Forecasting consumer products using prediction markets
… Markets hold the promise of improving the forecasting process. Research has shown that Prediction Markets can develop more accurate forecasts than polls or experts. Our research concentrated on analyzing Prediction Markets for business decision-making. We configured a Prediction Market to …
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Modelling of volatility of stock prices using GARCH models & its importance in portfolio construction
… GARCH (1,1) model demonstrates a relatively good forecasting performance as far as the short term forecasting horizon is concerned. However, the use of alternatives to the more common GARCH (1,1) and use of non-normal distributions is not clearly supported. Also, the use of higher order GARCH …
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MONITORAGGIO, STIMA E PREVISIONE REAL-TIME DEL TRAFFICO VEICOLARE CON TECNOLOGIE ITS. IMPLEMENTAZIONE DI UN SISTEMA SPERIMENTATO NELL AREA URBANA DI CATANIA
… of a traffic monitoring, estimating and short-term forecasting system, through the integration of real-time traffic data in a dynamic simulation model. The proposed methodology allows the identification of the conceptual model that represents the basis of the system's architecture, in …
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Sensing and Predicting Urban Rail Platform Crowding Using Emerging Data Sources
… transit systems. This thesis investigates the short-term forecasting of platform-level crowding, focusing on enhancing prediction accuracy, spatial granularity, and operational interpretability through multi-source data integration. We first employ a gradient-boosted tree regression model …
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Data-Driven Methods for Modeling and Predicting Multivariate Time Series using Surrogates
… investigate three key components of the forecasting problem viz. (i) short-term forecasting where surrogates can be employed in a now-casting framework, (ii) long-term forecasting problem where surrogates acts as forcing parameters to model system dynamics and, (iii) robust drift models …
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Modelos avanzados para la predicción a corto plazo de la producción eléctrica en parques eólicos
… was generated in wind farms) requires effective short-term forecasting tools of the electrical production in these plants. These tools are needed by the electric network Operator and by the managers of wind farms. The electric network Operator needs to know beforehand the value of the electric …
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Development of a multi-criteria, GIS-based, backcasting framework model (G-BFM) for progression towards zero waste futures, for holistic resource management policy and practice in Northamptonshire by 2050
… of waste management and planning requires a long-term strategic policy formation approach incorporating sustainable development principles. Consequently, the transition from a waste paradigm to valuing materials as resources is central for transitioning towards a 'zero waste' future. A need is …
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A review of international market forecasting and testing the Multiple Factor Analysis Technique
… a compact inventory of existing international forecasting techniques. Different classification schemes from the literature are presented. In order to evaluate the available international forecasting techniques, nine evaluative factors have been defined and used in an overall evaluation attempt. …
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Artificial Intelligence Forecasting Techniques For Reducing Uncertainties In Renewable Energy Applications
… stability improvements through better energy forecasting to reduce uncertainty. With the high increase in energy demand expected in both the near and far future, generating energy from green sustainable resources has now become an imperative necessity. Renewable energy sources like wind and …
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MATHEMATICAL MODELLING FOR REAL-TIME AND PROSPECTIVE ASSESSMENT OF INFECTIOUS DISEASES
… diseases, with a focus on how surveillance, forecasting, and intervention analysis can support public health decision-making. After introducing the core tools of infectious disease modelling, the thesis addresses three applied problems. First, it investigates how incomplete recent data, …
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Towards Energy-Efficient Cloud Datacentres: A Unified Framework for Generative and Multi-Scale Time Series Forecasting
… patterns of AI workloads particularly in terms of their arrival trend and energy profiles for achieving an optimised resource provisioning. Time-series forecasting driven resource optimisation is a potential strategy to workload volatility and sustaining operational efficiency under an …
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